| Investigation of the J-TEXT plasma events by k-means clustering algorithm |
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| 作者姓名： | 李建超 张晓卿 张昱 Abba Alhaji BALA 柳惠平 周帼红 王能超 李达 陈忠勇 杨州军 陈志鹏 董蛟龙 丁永华 the J-TEXT Team |
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| 作者单位： | 1. Hubei Key Laboratory of Optical Information and Pattern Recognition,Wuhan Institute of Technology;2. International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics,State Key Laboratory of Advanced Electromagnetic Engineering and Technology,School of Electrical and Electronic Engineering,Huazhong University of Science and Technology |
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| 基金项目： | National Natural Science Foundation of China (Nos.12075096 and 51821005)； |
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| 摘 要： | Various types of plasma events emerge in specific parameter ranges and exhibit similar characteristics in diagnostic signals,which can be applied to identify these events.A semisupervised machine learning algorithm,the k-means clustering algorithm,is utilized to investigate and identify plasma events in the J-TEXT plasma.This method can cluster diverse plasma events with homogeneous features,and then these events can be identified if given few manually labeled examples based on physical understa...
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